Mycobacterium tuberculosis, drug resistance, liquid chromatography – mass spectrometry (LC-MS), proteome, proteomic profiling
In recent years, the increasing emergence of resistance to drugs being used in tuberculosis treatment has been reported. Drug resistance significantly affects the choice for effective treatment, especially in multidrug-resistant cases. The emergence of multidrug-resistant tuberculosis has attracted a great deal of interest in understanding the mechanism of drug resistance in Mycobacterium tuberculosis and the development of new therapeutics, diagnostics and vaccines. In this study, a label-free proteomics approach was used to analyze proteome of multidrug resistant and susceptible clinical isolates of M. tuberculosis. With this approach, we identified a total of 1583 proteins. The majority of identified proteins have predicted roles in lipid metabolism, intermediary metabolism, cell wall and cell processes. Of these proteins, 335 proteins were predicted as membrane proteins with at least one transmembrane domain (TMD). The distributions of the molecular weight, pI, hydrophobicity (GRAVY) and predicted subcellular location of the identified proteins were analyzed and interpreted.
Phong, T. Q., Thu Ha, D. T., Volker, U., & Hammer, E. (2015). Proteomic profiling of multidrug-susceptible and resistant strains of mycobacterium tuberculosis. Academia Journal of Biology, 37(1se), 18–26. https://doi.org/10.15625/0866-7160/v37n1se.6071